Artificial Intelligence & Machine Learning Group

The Artificial Intelligence and Machine Learning (AIML) group, led by Prof. Dr. Eirini Ntoutsi, researches and develops AI systems that are technically robust, resilient to biases, data imbalances, distribution shifts, adversarial attacks, and other real-world challenges, and societally responsible, with emphasis on fairness, explainability, and accountability.

Three fundamental questions drive our work: How can we build intelligent machines for the real world? Equally important, what kind of intelligence do we aspire to build? And, can AI exhibit creativity?

Our ongoing research includes:

• Continuous learning over evolving data and data streams
• Responsible AI with a focus on fairness-aware machine learning, explainable AI and (adversarial) robustness
• Generative AI for enhancing data quality for AI and enabling novel solutions

Our applications span diverse domains, including education, agriculture, banking, and engineering.

We are part of Research Institute CODE for cybersecurity and smart data and the Department of Computer Science at the Bundeswehr University Munich (UniBwM). Previously, we have been working at the Freie Universität Berlin and Leibniz Universität Hannover/L3S Research Center.